High-quality experimental datasets that link protein–ligand structures with binding affinity data are essential for developing and evaluating structure-based machine learning methods. To help address this need, we established OpenBind as an open-science initiative to generate large-scale experimental datasets for struc...
Jochem Nelen, Omeir Khan, Etowah Adams et al.· bioRxiv· 1 citation
GenCDR, a family of LLaMa-based autoregressive language models that read all frameworks as a conditioning prompt and generate all CDRs jointly as a variable-length response, makes CDR likelihoods a clean, separable target for reward attribution, achieves the highest CDR recovery among autoregressive models.
Ferran Gonzalez Hernandez, Oliver M. Turnbull, Maliha Sultana et al.· bioRxiv· 0 citations
A new physics-informed representation using Fourier transforms as an inductive bias for the multiscale temporal nature of protein dynamics, DynaMode is presented, achieving strong performance across a set of ensemble-based metrics.
H. Phipps, M. Cagiada, S. Villalba et al.· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.